First drug developed using machine learning enters clinical trials

What just happened? Of all the domains where machine learning is expected to be revolutionary, medicine is perhaps the most universal. In a major new milestone, a drug developed using machine learning is about to enter human trials.

Before a new medicine enters human trials, there is typically three to five years of work behind the scenes, researching causes for diseases and compounds that may help treat them. But working with British AI startup Exscientia, a Japanese drug development company called Sumitomo Dainippon Pharma Co. is about to start phase 1 clinical trials after only 12 months.

The drug in question is DSP-1181, a prospective treatment for obsessive-compulsive disorder (OCD). OCD affects millions of people worldwide, to varying degrees, and can be debilitating in its psychological effects.

Exscientia, based in Oxford, UK, operates an exciting machine learning platform called Centaur Chemist. The platform allegedly takes years off the time required to research new compounds, by combining A.I. techniques with existing knowledge of how medicines interact with the human body.

The benefit of machine learning is that it can happen virtually, and far quicker than scientists are able to work in the real world. The platform can analyze millions of molecular combinations and attempt to identify which may be the safest and most effective in treating a given disease.

First drug developed using machine learning enters clinical trials 1

Perhaps even more important is the potential savings associated with using machine learning to develop new medicines. Typically, it costs over $1 billion to bring a new drug through from conception to market, with a lot of those costs borne out during the research phases. But taking out years of painstaking research will save both time and money, speeding up development and freeing up resources to develop yet more medicines.

There’s a lot riding on Exscientia and Sumitomo Dainippon’s trial. The first phase is to check how the drug affects the body, and how the body metabolises the drug. So this will not prove the medication’s efficacy.

But if DSP-1181 is shown to be safe, phases two and three can proceed, to see whether the drug can help OCD patients in the real world. And if it does, we’ll witness the dawn of machine learning in medicine.

About the author

E-Crypto News was developed to assist all cryptocurrency investors in developing profitable cryptocurrency portfolios through the provision of timely and much-needed information. Investments in cryptocurrency require a level of detail, sensitivity, and accuracy that isn’t required in any other market and as such, we’ve developed our databases to help fill in information gaps.

Related Posts

E-Crypto News Executive Interviews

Crypto Scams

Cryptosoft
Cryptosoft Trading Bot Review
June 27, 2022
The Largest Crypto Scams Of 2022 (So Far)
The Largest Crypto Scams Of 2022 (So Far)
June 14, 2022
Scammers
How Do Scammers Entice Their Prey?
May 10, 2022
Beanstalk Farms Loses $80M In A Massive DeFi Governance Flash-Loan Hack
Beanstalk Farms Loses $80M In A Massive DeFi Governance Flash-Loan Hack
April 23, 2022
Prove
Joon Pak Head of Crypto at Prove talks to Us about Crypto Fraud And More
April 11, 2022

Automated trading with HaasBot Crypto Trading Bots

Blockchain/Cryptocurrency Questions and Answers

Is The Crypto Market Combating A Lehman Brothers Moment?
Is The Crypto Market Combating A Lehman Brothers Moment?
June 30, 2022
Russia
Roundtable Interview-What is the Effect of The Russia-Ukraine War on Cryptocurrency Prices?
March 4, 2022
GamStop
How Does Bitcoin Casino Work + 2021 Beginner’s Guide
November 8, 2021
Cryptocurrency
How to Buy and Sell Cryptocurrency
November 8, 2021
What Are Bitcoin Futures And How Will They Work In 2022?
November 4, 2021


CryptoCurrencyUSDChange 1hChange 24hChange 7d
--- --- --- ---
--- --- --- ---
--- --- --- ---
--- --- --- ---
--- --- --- ---
--- --- --- ---
--- --- --- ---
--- --- --- ---
--- --- --- ---
--- --- --- ---

bitcoin
Bitcoin (BTC) $ 20,355.00
ethereum
Ethereum (ETH) $ 1,096.25
tether
Tether (USDT) $ 0.998444
usd-coin
USD Coin (USDC) $ 0.999794
bnb
BNB (BNB) $ 223.56
binance-usd
Binance USD (BUSD) $ 1.00
xrp
XRP (XRP) $ 0.332272
cardano
Cardano (ADA) $ 0.468119
solana
Solana (SOL) $ 34.76
dogecoin
Dogecoin (DOGE) $ 0.067488